Constrained MMSE estimator for distribution mismatch compensation

Dror Lederman, Joseph Tabrikian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This paper addresses the problem of Bayesian estimation in the presence of signal distribution mismatch. A new estimator is derived based on the minimum mean-square error (MMSE) criterion with constraints on the first and second order statistics of the parameters of interest. The resulting constrained MMSE (CMMSE) estimator is found to be robust to signal distribution mismatch, since it incorporates statistical information on the parameters of interest. The performance of the CMMSE estimator under different mismatch conditions is studied via simulations using several examples. It is shown that the CMMSE estimator outperforms the MMSE in the presence of signal distribution mismatch. With no distribution mismatch, the CMMSE performance is slightly lower than the MMSE.

Original languageEnglish
Title of host publication2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006
Pages439-443
Number of pages5
StatePublished - 1 Dec 2006
Event4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006 - Waltham, MA, United States
Duration: 12 Jul 200614 Jul 2006

Publication series

Name2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006

Conference

Conference4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006
Country/TerritoryUnited States
CityWaltham, MA
Period12/07/0614/07/06

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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